Tharun Chowdary Malepati Email & Phone Number

Denton, TX, US

Tuscaloosa, AL, US

Tuscaloosa, AL, US

United States

• Developed a predictive analytics platform for supply chain optimization using AWS SageMaker for model deployment, which reduced inventory costs by 20% and improved demand forecasting accuracy by 25%.
• Implemented a computer vision system using convolutional neural networks (CNNs) and OpenCV to automate quality control in manufacturing, decreasing defect rates by 30% through real-time image analysis.
• Designed and trained a reinforcement learning agent for dynamic pricing strategies in retail, utilizing TensorFlow to achieve a 15% increase in sales revenue by optimizing price adjustments based on market demand.
• Built an MLOps pipeline with Kubeflow for continuous integration and deployment, streamlining model updates and ensuring reliable performance in production environments.
• Enhanced an existing chatbot system with NLP techniques, leveraging Hugging Face transformers, which increased user engagement and satisfaction by 40% through improved intent recognition and response accuracy.
• Utilized Docker for containerization of machine learning models, ensuring consistent deployment across various environments and reducing setup times by 50%.

India

• Led the development of a healthcare analytics solution utilizing Scikit-learn for patient outcome prediction, achieving a 30% improvement in treatment accuracy and resource allocation.
• Engineered a natural language processing application to analyze customer feedback and reviews using BERT, which enhanced product development strategies and marketing campaigns with a 25% increase in sentiment analysis.
• Created a recommendation system for a travel platform using collaborative filtering techniques in Python, resulting in a 25% increase in user engagement and personalized travel suggestions.
• Developed a fraud detection system for an insurance company, applying LightGBM for classification, which reduced fraudulent claims by 20%.
• Implemented computer vision algorithms using Keras to enhance security monitoring systems, improving real-time threat detection capabilities and reducing false alarm rates by 15%.
• Automated model deployment and monitoring processes using Kubernetes and Azure DevOps, ensuring seamless integration and continuous delivery of machine learning models in a cloud-native environment.

Master'S Degree, Data Science And Machine Learning

Master'S Degree, Computer Science, 3.66/4.00 Gpa

Activities and Societies: Graduate Research Assistant Member, Computer Science Club Hackathon Enthusiast

Bachelor Of Technology - Btech, Computer Science, First Class

Activities and Societies: Programming Club Tech Fest Committee Member Hackathon Participant